I am looking for highly-motivated post-docs to join my team at the Institute for Medical Engineering & Science (IMES) at MIT starting immediately in Fall 2025. Openings are available for the following positions:
The Massachusetts Institute of Technology (MIT), Institute for Medical Engineering & Science (IMES) invites applications for a Postdoctoral Associate position in Machine Learning for Health. This is an immediate opening for a highly motivated researcher interested in developing machine learning methods for latent representation learning and generative modeling from complex, multimodal, time-varying clinical data, with the goal of supporting sequential treatment decision-making and generating actionable insights with high potential impact in clinical medicine.
The project offers opportunities to develop and apply novel machine learning and statistical approaches to generate clinically meaningful insights from observational health data, including clinical time series and physiological signals, with extensions to multimodal learning from medical imaging, physiological waveforms, and physician text reports. The successful candidate will join a multidisciplinary team working at the interface of computational methods and clinical medicine to develop approaches with high translational value that inform patient care and treatment decisions.
Applicants should send a CV and a short statement of research interests to Li-wei Lehman, lilehman@mit.edu. Applications will be reviewed periodically, and candidates whose background and expertise are a strong fit for the position will be contacted for next steps. The appointment is for one year, renewable annually for up to two years based on satisfactory performance and available funding.
Li-wei Lehman, Ph.D.
Research Scientist
Institute for Medical Engineering & Science
Massachusetts Institute of Technology
http://web.mit.edu/lilehman/www/
The Massachusetts Institute of Technology (MIT), Institute for Medical Engineering & Science (IMES) invites applications for a Postdoctoral Fellow or a Research Associate position in Machine Learning and Data Science for Health. This is an immediate opening for a highly motivated researcher with strong applied ML and data science skills to work on developing and applying interpretable machine learning approaches for time-varying, multimodal clinical data, supporting sequential treatment decision-making and generating actionable clinical insights.
The project provides opportunities to develop and apply state-of-the-art machine learning and statistical methods to large, multimodal observational datasets from electronic health records, including clinical time series and physiological signals, medical imaging, and clinical text reports. The successful candidate will join a multidisciplinary team working at the interface of computational methods and clinical medicine, contributing to projects with direct translational impact on healthcare and patient care.
Applicants should send a CV and a short statement of research interests to Li-wei Lehman, lilehman@mit.edu. Applications will be reviewed periodically, and candidates whose background and expertise are a strong fit for the position will be contacted for next steps. The appointment is for one year, renewable annually for up to two years based on satisfactory performance and available funding.
Li-wei Lehman, Ph.D. Research Scientist Institute for Medical Engineering & Science Massachusetts Institute of Technology http://web.mit.edu/lilehman/www/